This paper proposes a two-channel noise estimator for speech enhancement in a highly nonstationary environment. The proposed noise estimator utilizes a spatial filter which has a capability of extracting noise information even in a speech presence region. We exploit a first-order recursion method with timefrequency varying smoothing coefficients to accurately estimate a noise power spectral density (PSD) in both slowly and rapidly varying regions. The smoothing coefficients are determined by measuring the nonstationarity factor of noise, e.g., degree of noise variation. The nonstationarity factor is derived through a statistical assumption of stationary background noise, which does not need any assumption on the type of nonstationary noise. Since the proposed method efficiently estimates the noise PSD both in stationary and nonstationary regions, the enhanced speech obtained by applying the proposed algorithm to the two-channel enhancement system shows superior performance to conventional approaches in various noise environments.
|Number of pages||11|
|Journal||IEEE Transactions on Audio, Speech and Language Processing|
|Publication status||Published - 2011|
Bibliographical noteFunding Information:
Manuscript received December 12, 2009; revised April 08, 2010; accepted August 01, 2010. Date of publication August 16, 2010; date of current version March 30, 2011. This work was supported by LG electronics. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Tim Fingscheidt.
All Science Journal Classification (ASJC) codes
- Acoustics and Ultrasonics
- Electrical and Electronic Engineering